A mouse atlas of gene expression: Large-scale digital gene-expression profiles from precisely defined developing C57BL/6J mouse tissues and cells

Abstract

We analyzed 8.55 million LongSAGE tags generated from 72 libraries. Each LongSAGE library was prepared from a different mouse tissue. Analysis of the data revealed extensive overlap with existing gene data sets and evidence for the existence of ≈24,000 previously undescribed genomic loci. The visual cortex, pancreas, mammary gland, preimplantation embryo, and placenta contain the largest number of differentially expressed transcripts, 25% of which are previously undescribed loci.

Keywords

BiologyGeneGene expressionEmbryoGenomic imprintingGeneticsGene expression profilingMolecular biologyComputational biologyDNA methylation

MeSH Terms

Alternative SplicingAnimalsGene Expression ProfilingGene Expression RegulationDevelopmentalMiceMiceInbred C57BLMultigene FamilyRNAUntranslatedReproducibility of ResultsTranscriptionGenetic

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Publication Info

Year: 2005
Type: article
Volume: 102
Issue: 51
Pages: 18485-18490
Citations: 119
Access: Closed

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APA Style

                            
                                
                                    Asim Siddiqui, 
                                
                                    Jaswinder Khattra, 
                                
                                    Allen Delaney
                                
                                et al.
                            
                            (2005). 
                            A mouse atlas of gene expression: Large-scale digital gene-expression profiles from precisely defined developing C57BL/6J mouse tissues and cells. 
                            Proceedings of the National Academy of Sciences
                            , 102
                            (51)
                            , 18485-18490.
                            https://doi.org/10.1073/pnas.0509455102
                        

Identifiers

DOI: 10.1073/pnas.0509455102
PMID: 16352711
PMCID: PMC1311911

Data Quality

Data completeness: 86%